Tianying Zheng
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Explore the profile of Tianying Zheng including associated specialties, affiliations and a list of published articles.
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Articles
35
Citations
278
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0
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Recent Articles
1.
Chen Y, Zheng T, Chen Y, Song B
Liver Int
. 2025 Feb;
45(3):e70013.
PMID: 39992075
No abstract available.
2.
Zheng T, Zhu Y, Jiang H, Yang C, Ye Y, Bashir M, et al.
Liver Int
. 2025 Feb;
45(3):e16205.
PMID: 39992060
Background & Aims: Microvascular invasion (MVI) is associated with poor prognosis in hepatocellular carcinoma (HCC). Topology may improve the predictive performance and interpretability of deep learning (DL). We aimed to...
3.
Zheng T, Sheng L, Wu Y, Zhu X, Yang Y, Zhang X, et al.
Eur J Radiol
. 2025 Jan;
184:111945.
PMID: 39874618
Purpose: To develop and validate an MRI-based model for predicting postoperative early (≤2 years) recurrence-free survival (RFS) in patients receiving upfront surgical resection (SR) for beyond Milan hepatocellular carcinoma (HCC)...
4.
Jiang H, Li B, Zheng T, Qin Y, Wu Y, Wu Z, et al.
Eur Radiol
. 2024 Dec;
PMID: 39702639
Objectives: To develop and externally validate an MRI-based diagnostic model for microvascular invasion (MVI) or Edmondson-Steiner G3/4 (i.e., high-risk histopathology) in solitary BCLC 0/A hepatocellular carcinoma (HCC) ≤ 5 cm...
5.
Zheng T, Zhu Y, Chen Y, Mai S, Xu L, Jiang H, et al.
Insights Imaging
. 2024 Dec;
15(1):298.
PMID: 39666107
Objectives: To develop and externally validate a fully automated diagnostic convolutional neural network (CNN) model for cirrhosis based on liver MRI and serum biomarkers. Methods: This multicenter retrospective study included...
6.
Wang Y, Qu Y, Yang C, Wu Y, Wei H, Qin Y, et al.
Eur Radiol
. 2024 Sep;
PMID: 39235653
Objectives: To develop an MRI-based score that enables individualized predictions of the survival benefit of wide over narrow resection margins. Materials And Methods: This single-center retrospective study (December 2011 to...
7.
Wei H, Zheng T, Zhang X, Zheng C, Jiang D, Wu Y, et al.
Eur Radiol
. 2024 Jul;
35(1):127-139.
PMID: 39028376
Objectives: This study aimed to evaluate the potential of deep learning (DL)-assisted automated three-dimensional quantitative tumor burden at MRI to predict postoperative early recurrence (ER) of hepatocellular carcinoma (HCC). Materials...
8.
Zheng T, Hou J, Wu T, Jin H, Dai Y, Xu J, et al.
Environ Sci Technol
. 2024 Jun;
58(25):11063-11073.
PMID: 38869036
Rhizosphere iron plaques derived from Fe-based nanomaterials (NMs) are a promising tool for sustainable agriculture. However, the requirement for flooded conditions to generate iron plaque limits the scope of the...
9.
Wei H, Zheng T, Zhang X, Wu Y, Chen Y, Zheng C, et al.
Insights Imaging
. 2024 May;
15(1):120.
PMID: 38763975
Objectives: To investigate the utility of deep learning (DL) automated segmentation-based MRI radiomic features and clinical-radiological characteristics in predicting early recurrence after curative resection of single hepatocellular carcinoma (HCC). Methods:...
10.
Sun Z, Zhang S, Zheng T, He C, Xu J, Lin D, et al.
Heliyon
. 2024 Apr;
10(8):e29814.
PMID: 38681555
Despite the considerable efforts devoted to the toxicological assessment of nanoplastics, the effect of UV-irradiation induced aging, a realistic environmental process, on the toxicity of nanoplastics toward microalgae and its...